Beyond GTM — Industry Solutions

Small models.
Real industry solutions.

The seams between revenue teams aren't the only place a narrow, repetitive, high-volume decision quietly costs money. We take the same approach — small, purpose-built models that run on your own data, inside your own infrastructure — and ship it as a standalone solution for industries where the same pattern repeats. Starting with QuoteEngine, for India's MSMEs.

Talk to us about your industry → Tell us your use case
1 job
per model — each solution is trained for one operational job a business does every day, not a general assistant
0 data
leaves your boundary — every model runs on your own data, priced for your own volumes
1 at a time
we ship one solution at a time, starting where the money leaks fastest
Flagship solution — live, design-partner pilot

QuoteEngine, for India's MSMEs.

Every quotation a business sends and doesn't follow up on is a deal handed to a competitor. QuoteEngine turns the quotes already being sent into a follow-up engine — chasing each one with the right nudge at the right time, re-opening the ones that went cold, and surfacing which deals are worth a call today. It runs on the business's own quote and email data, priced for the volumes an MSME actually sends.

Who it's for
Manufacturers, distributors & B2B service MSMEs
Businesses that quote by email, WhatsApp, or Excel — and lose track of follow-up.
Fits your tools
No rip-and-replace
Email · WhatsApp · SalesBabu · Excel — QuoteEngine reads what's already there.
Deployment
Sovereign, on your own data
Runs on your own quote and email history — priced for MSME volumes, not enterprise pricing.
On the research bench

The next operational jobs we're training small models for.

— In research
Machine uptime
A small model over telemetry — vibration, temperature, current draw, cycle counts, error codes — flags a failure before it stops the line. Runs on-prem: the machine data never leaves the factory floor.
— In research
Receivables & collections
A model that watches invoice ageing and payment history sequences the follow-ups — knowing which customer needs a gentle reminder and which needs a call — without a full ERP.
— In research
Repeat-order retention
A model over past order cadence flags the customer who is overdue to reorder — before they quietly move to another supplier.
Where this applies

Every repetitive, high-volume job is a job a small model can do.

We started with quotations because the money leaks visibly and the feedback loop is tight — a followed-up quote either closes or it doesn't. The same pattern repeats across every function a business runs by hand.

Shipping
Sales & quotations
Follow up every quote at the right time, re-open the ones that went cold, surface which deals are worth a call today. Live as QuoteEngine.
Next
Receivables & collections
Sequence payment follow-ups from invoice ageing and payment history — without needing a full ERP.
Exploring
Compliance & GST operations
High-volume, deadline-driven, sovereignty-sensitive filing and reconciliation — a bounded job a small model runs cheaply on your own data.
Horizon
Manufacturing & machine uptime
Predict machine failures before they stop production, from shop-floor telemetry — on-prem by necessity.

Have a use case like this
in your industry?

We choose what to build next from the problems businesses bring us — the repetitive, high-volume decision that quietly costs deals or money. If that's a job in your industry, tell us what it is.

Talk to us about your industry → Tell us your use case